论文信息 - Special Issue on “Machining Dynamics and Parameters Process Optimization” - 字舞流文

Special Issue on “Machining Dynamics and Parameters Process Optimization”

Gorka Urbikain | Daniel Olvera-Trejo | D. Olvera-Trejo | G. Urbikain

[1] G. Campatelli,et al. Process Parameters Optimization of Thin-Wall Machining for Wire Arc Additive Manufactured Parts , 2020, Applied Sciences.

[2] L. N. L. Lacalle,et al. Uncharted Stable Peninsula for Multivariable Milling Tools by High-Order Homotopy Perturbation Method , 2020, Applied Sciences.

[3] D. Barrenetxea,et al. Implicit Subspace Iteration to Improve the Stability Analysis in Grinding Processes , 2020, Applied Sciences.

[4] Jiabin Sun,et al. Natural Frequency Prediction Method for 6R Machining Industrial Robot , 2020, Applied Sciences.

[5] Yang Wang,et al. Double B-Spline Curve-Fitting and Synchronization-Integrated Feedrate Scheduling Method for Five-Axis Linear-Segment Toolpath , 2020 .

[6] Jenq-Shyong Chen,et al. Development of an Analyzing and Tuning Methodology for the CNC Parameters Based on Machining Performance , 2020, Applied Sciences.

[7] Xiaodong Zhang,et al. Tool Wear Monitoring for Complex Part Milling Based on Deep Learning , 2020, Applied Sciences.

[8] Yang Fang,et al. An Accurate and Efficient Approach to Calculating the Wheel Location and Orientation for CNC Flute-Grinding , 2020 .

[9] L. N. López de Lacalle,et al. Semi-Active Magnetorheological Damper Device for Chatter Mitigation during Milling of Thin-Floor Components , 2020, Applied Sciences.